https://github.com/cwwhitney/limpopo_model
Model of the smallholder farmers water needs in Limpopo
Science Score: 59.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 1 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
✓Committers with academic emails
1 of 3 committers (33.3%) from academic institutions -
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (10.2%) to scientific vocabulary
Keywords from Contributors
Repository
Model of the smallholder farmers water needs in Limpopo
Basic Info
- Host: GitHub
- Owner: CWWhitney
- License: mit
- Language: TeX
- Default Branch: main
- Size: 84.3 MB
Statistics
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
- Releases: 3
Metadata Files
README.md
Model of the smallholder farmers water needs in Limpopo, South Africa
We outline a method to support decision-makers in forecasting outcomes in e-flow scenarios where precise data is unavailable. We introduce a robust decision-making model to include expert knowledge as well as empirical evidence in assessing e-flow management options. The model distinguishes between scenarios representing different water use conditions and e-flow implementations and supports an extension of the e-flow concept to include more human aspects, such as the lives and livelihoods of smallholder farmers. This nuanced approach allows decision-makers to assess the impact of e-flow scenarios on agriculture and livelihoods. The model uses probability distributions of input variables and generates a custom model function predicting e-flow management decision outcomes. At the core of the model is a Monte Carlo simulation, generating numerous plausible outcomes based on probability distributions for input variables. The model generates outputs, including Net Present Value, allowing decision analysis without precise numerical data. To facilitate the model-building process, we designed an input table for storing estimate values locally and capturing uncertainties with 90% confidence intervals. The model development process allows us to address decision-relevant uncertainties in e-flows, making it a valuable tool for complex decision-making processes. The study underlines the practical application of the model through a script allowing for time series generation, event simulation, and value discounting based on measured values. Overall, our model offers an accessible framework for decision-makers navigating scenarios where precise data is unavailable.
Model and scripts are here https://github.com/CWWhitney/limpopomodel, view the main document here https://github.com/CWWhitney/limpopomodel/blob/main/index.md
The whole project is run from the {index} file.
Owner
- Name: Cory Whitney
- Login: CWWhitney
- Kind: user
- Location: Bonn, Germany
- Company: University of Bonn
- Website: https://www.zef.de/index.php?id=2232&tx_zefportal_staff[ref]=2252&tx_zefportal_staff[uid]=1799&no_cache=1
- Twitter: human_ecologist
- Repositories: 42
- Profile: https://github.com/CWWhitney
Holistic and collaborative research processes related to decision theory, human ecology, ethno- botany/biology/ecology.
GitHub Events
Total
- Release event: 1
- Push event: 6
- Create event: 2
Last Year
- Release event: 1
- Push event: 6
- Create event: 2
Committers
Last synced: over 1 year ago
Top Committers
| Name | Commits | |
|---|---|---|
| CWWhitney | w****y@g****m | 72 |
| CWWhitney | c****y@g****m | 9 |
| eikeluedeling | l****g@u****e | 9 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 11 months ago
All Time
- Total issues: 2
- Total pull requests: 2
- Average time to close issues: over 2 years
- Average time to close pull requests: less than a minute
- Total issue authors: 1
- Total pull request authors: 1
- Average comments per issue: 0.0
- Average comments per pull request: 0.0
- Merged pull requests: 2
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- CWWhitney (2)
Pull Request Authors
- CWWhitney (2)